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    • Introduction To Data Science
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    Results for "introduction to data science"

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM Relational Database Administrator

      Skills you'll gain: Data Engineering, Data Warehousing, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, Jupyter, Generative AI, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      58K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • É

      École Polytechnique Fédérale de Lausanne

      Introduction to Household Water Treatment and Safe Storage

      Skills you'll gain: Sanitation, Water Resources, Public Health, Program Evaluation, Emergency Response, Health Policy, Environmental Monitoring, Infectious Diseases, Governance, Microbiology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Georgia Institute of Technology

      Material Behavior

      Skills you'll gain: Chemistry, Manufacturing Processes, Structural Analysis, Mechanical Engineering, Physical Science, Engineering, Semiconductors, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Data Analysis with R

      Skills you'll gain: Statistical Hypothesis Testing, Sampling (Statistics), Statistical Inference, Exploratory Data Analysis, Regression Analysis, Statistical Reporting, Probability Distribution, Statistical Methods, Data Analysis Software, R Programming, Bayesian Statistics, Statistical Analysis, Data Analysis, Statistical Software, Statistical Modeling, Probability & Statistics, Probability, Statistics, Correlation Analysis, Data Visualization

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Back-End Development

      Skills you'll gain: Istio, Open Web Application Security Project (OWASP), Software Development Life Cycle, Software Architecture, Linux Commands, Application Deployment, NoSQL, Kubernetes, Bash (Scripting Language), MongoDB, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Flask (Web Framework), Jupyter, Grafana, Microservices, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Unit Testing, Version Control, File Management, Jupyter, Unix Shell, Scrum (Software Development), Software Engineering, Linux, Application Deployment, Python Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Programming Fundamentals

      Skills you'll gain: Programming Principles, Algorithms, Pseudocode, Computational Thinking, Computer Programming, Data Structures, Problem Solving, Software Testing, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      American Museum of Natural History

      The Science of Stem Cells

      Skills you'll gain: Medical Science and Research, Healthcare Ethics, Clinical Research, Life Sciences, Biology, Precision Medicine, Molecular Biology, Emerging Technologies, Laboratory Research, Ethical Standards And Conduct

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Statistics and Machine Learning

      Skills you'll gain: Shiny (R Package), Rmarkdown, Regression Analysis, Leaflet (Software), Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Machine Learning Algorithms, Plotly, Interactive Data Visualization, Probability & Statistics, Data Visualization, Feature Engineering, Statistical Analysis, Statistical Modeling, R Programming, Data Science, Machine Learning, GitHub

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • S

      Stanford University

      Child Nutrition and Cooking

      Skills you'll gain: Nutrition Education, Cooking, Nutrition and Diet, Food and Beverage, Food Safety and Sanitation, Child Health, Working With Children, Community Health, Parent Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Agile Development and Scrum

      Skills you'll gain: Agile Software Development, Agile Methodology, Kanban Principles, Agile Project Management, User Story, Sprint Retrospectives, Sprint Planning, Workflow Management, Performance Metric, Team Oriented, Backlogs, Performance Measurement, Lean Methodologies, Continuous Improvement Process, Prioritization, Estimation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      2.5K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to introduction to data science

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    In summary, here are 10 of our most popular introduction to data science courses

    • IBM Relational Database Administrator: IBM
    • Introduction to Household Water Treatment and Safe Storage: École Polytechnique Fédérale de Lausanne
    • Introduction to Computer Vision and Image Processing: IBM
    • Material Behavior: Georgia Institute of Technology
    • Data Analysis with R: Duke University
    • IBM Back-End Development: IBM
    • Applied Software Engineering Fundamentals: IBM
    • Programming Fundamentals: Duke University
    • The Science of Stem Cells: American Museum of Natural History
    • Data Science: Statistics and Machine Learning: Johns Hopkins University

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